from numpy.random import *

def get_uniform(num, l=0.0, u=1.0):
    #seed()
    return uniform(l, u, size=num)

def get_jnorm(means, cov, num):
    #seed()
    return multivariate_normal(means, cov, num)

def get_poisson(mean, num):
    #seed()
    return poisson(mean, size=num)

if __name__ == '__main__':
    print get_uniform(10)
    print get_uniform(10)
    #print get_jnorm([0.5, 0.5], [[0.16, 0.128],[0.128, 0.16]], 25)
    print get_poisson(5, 50)
